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Mapping Dance syncs movement and stage lighting using tinyML

Reading Time: 2 minutes Arduino Team — October 22nd, 2021 Being able to add dynamic lighting and images that can synchronize with a dancer is important to many performances, which rely on both music and visual effects to create the show. Eduardo Padrón aimed to do exactly that by monitoring a performer’s moves with an accelerometer and triggering the appropriate AV experience […]

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Optimizing a low-cost camera for machine vision

Reading Time: 15 minutes In this deep dive article, performance optimization specialist Larry Bank (a.k.a The Performance Whisperer) takes a look at the work he did for the Arduino team on the latest version of the Arduino_OV767x library. Arduino recently announced an update to the Arduino_OV767x camera library that makes it possible to run machine vision using TensorFlow Lite […]

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Simple machine learning with Arduino KNN

Reading Time: 5 minutes Machine learning (ML) algorithms come in all shapes and sizes, each with their own trade-offs. We continue our exploration of TinyML on Arduino with a look at the Arduino KNN library. [youtube https://www.youtube.com/watch?v=v6B7MLs3Eyo?feature=oembed&w=500&h=281] In addition to powerful deep learning frameworks like TensorFlow for Arduino, there are also classical ML approaches suitable for smaller data sets […]

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Get started with machine learning on Arduino

Reading Time: 12 minutes This post was originally published by Sandeep Mistry and Dominic Pajak on the TensorFlow blog. Arduino is on a mission to make machine learning simple enough for anyone to use. We’ve been working with the TensorFlow Lite team over the past few months and are excited to show you what we’ve been up to together: […]